{"total":132,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2410.10629","title":"SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers","created":"2024-10-14","cited_by_count":340,"area":"diffusion"},{"id":"2410.17891","title":"Scaling Diffusion Language Models via Adaptation from Autoregressive Models","created":"2024-10-23","cited_by_count":274,"area":"diffusion"},{"id":"2505.15809","title":"MMaDA: Multimodal Large Diffusion Language Models","created":"2025-05-21","cited_by_count":250,"area":"diffusion"},{"id":"2305.13655","title":"LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models","created":"2023-05-23","cited_by_count":243,"area":"diffusion"},{"id":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"area":"diffusion"},{"id":"2410.18514","title":"Scaling up Masked Diffusion Models on Text","created":"2024-10-24","cited_by_count":199,"area":"diffusion"},{"id":"2311.16090","title":"Self-correcting LLM-controlled Diffusion Models","created":"2023-11-27","cited_by_count":113,"area":"diffusion"},{"id":"2305.01115","title":"In-Context Learning Unlocked for Diffusion Models","created":"2023-05-01","cited_by_count":104,"area":"diffusion"},{"id":"2310.17513","title":"The Expressive Power of Low-Rank Adaptation","created":"2023-10-26","cited_by_count":102,"area":"diffusion"},{"id":"2501.05803","title":"Test-time Alignment of Diffusion Models without Reward Over-optimization","created":"2025-01-10","cited_by_count":93,"area":"diffusion"},{"id":"2308.05095","title":"LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation","created":"2023-08-09","cited_by_count":92,"area":"diffusion"},{"id":"2410.21357","title":"Energy-Based Diffusion Language Models for Text Generation","created":"2024-10-28","cited_by_count":89,"area":"diffusion"},{"id":"2311.17002","title":"Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following","created":"2023-11-28","cited_by_count":77,"area":"diffusion"},{"id":"2403.19652","title":"InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction","created":"2024-03-28","cited_by_count":64,"area":"diffusion"},{"id":"2508.10711","title":"NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale","created":"2025-08-14","cited_by_count":57,"area":"diffusion"},{"id":"2309.00748","title":"PathLDM: Text conditioned Latent Diffusion Model for Histopathology","created":"2023-09-01","cited_by_count":52,"area":"diffusion"},{"id":"2503.23368","title":"VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior","created":"2025-03-30","cited_by_count":52,"area":"diffusion"},{"id":"2406.04277","title":"VideoTetris: Towards Compositional Text-to-Video Generation","created":"2024-06-06","cited_by_count":51,"area":"diffusion"},{"id":"2405.15330","title":"Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model","created":"2024-05-24","cited_by_count":48,"area":"diffusion"},{"id":"2407.12899","title":"DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion","created":"2024-07-17","cited_by_count":47,"area":"diffusion"},{"id":"2411.18616","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","created":"2024-11-27","cited_by_count":47,"area":"diffusion"},{"id":"2502.09622","title":"Theoretical Benefit and Limitation of Diffusion Language Model","created":"2025-02-13","cited_by_count":47,"area":"diffusion"},{"id":"2402.06559","title":"Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following","created":"2024-02-09","cited_by_count":42,"area":"diffusion"},{"id":"2312.11538","title":"Iterative Motion Editing with Natural Language","created":"2023-12-15","cited_by_count":40,"area":"diffusion"},{"id":"2308.12219","title":"Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning","created":"2023-08-23","cited_by_count":39,"area":"diffusion"},{"id":"2408.14340","title":"Foundation Models for Music: A Survey","created":"2024-08-26","cited_by_count":37,"area":"diffusion"},{"id":"2308.13812","title":"Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs","created":"2023-08-26","cited_by_count":35,"area":"diffusion"},{"id":"2408.12957","title":"Image Segmentation in Foundation Model Era: A Survey","created":"2024-08-23","cited_by_count":35,"area":"diffusion"},{"id":"2508.09138","title":"Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models","created":"2025-08-12","cited_by_count":33,"area":"diffusion"},{"id":"2305.14724","title":"I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors","created":"2023-05-24","cited_by_count":31,"area":"diffusion"},{"id":"2412.01243","title":"Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation","created":"2024-12-02","cited_by_count":30,"area":"diffusion"},{"id":"2305.10843","title":"X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models","created":"2023-05-18","cited_by_count":28,"area":"diffusion"},{"id":"2401.10061","title":"DiffusionAgent: Navigating Expert Models for Agentic Image Generation","created":"2024-01-18","cited_by_count":28,"area":"diffusion"},{"id":"2309.16115","title":"Compositional Sculpting of Iterative Generative Processes","created":"2023-09-28","cited_by_count":27,"area":"diffusion"},{"id":"2602.15014","title":"Scaling Beyond Masked Diffusion Language Models","created":"2026-02-16","cited_by_count":27,"area":"diffusion"},{"id":"2511.00606","title":"SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding","created":"2025-11-01","cited_by_count":26,"area":"diffusion"},{"id":"2410.10676","title":"Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation","created":"2024-10-14","cited_by_count":25,"area":"diffusion"},{"id":"2506.07634","title":"SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement","created":"2025-06-09","cited_by_count":23,"area":"diffusion"},{"id":"2310.07653","title":"Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models","created":"2023-10-11","cited_by_count":22,"area":"diffusion"},{"id":"2410.12490","title":"Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective","created":"2024-10-16","cited_by_count":22,"area":"diffusion"},{"id":"2501.06655","title":"Personalized Preference Fine-tuning of Diffusion Models","created":"2025-01-11","cited_by_count":22,"area":"diffusion"},{"id":"2605.05204","title":"D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models","created":"2026-05-06","cited_by_count":22,"area":"diffusion"},{"id":"2410.05664","title":"Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning","created":"2024-10-08","cited_by_count":21,"area":"diffusion"},{"id":"2502.09411","title":"ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation","created":"2025-02-13","cited_by_count":21,"area":"diffusion"},{"id":"2503.02445","title":"BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling","created":"2025-03-04","cited_by_count":19,"area":"diffusion"},{"id":"2404.18928","title":"Stylus: Automatic Adapter Selection for Diffusion Models","created":"2024-04-29","cited_by_count":18,"area":"diffusion"},{"id":"2412.17153","title":"Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching","created":"2024-12-22","cited_by_count":18,"area":"diffusion"},{"id":"2512.13586","title":"ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding","created":"2025-12-15","cited_by_count":18,"area":"diffusion"},{"id":"2604.08302","title":"DMax: Aggressive Parallel Decoding for dLLMs","created":"2026-04-09","cited_by_count":18,"area":"diffusion"},{"id":"2411.15540","title":"Optical-Flow Guided Prompt Optimization for Coherent Video Generation","created":"2024-11-23","cited_by_count":17,"area":"diffusion"},{"id":"2505.14455","title":"CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation","created":"2025-05-20","cited_by_count":17,"area":"diffusion"},{"id":"2505.18456","title":"Anchored Diffusion Language Model","created":"2025-05-24","cited_by_count":17,"area":"diffusion"},{"id":"2510.17206","title":"Soft-Masked Diffusion Language Models","created":"2025-10-20","cited_by_count":16,"area":"diffusion"},{"id":"2307.16680","title":"On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook","created":"2023-07-31","cited_by_count":15,"area":"diffusion"},{"id":"2510.22950","title":"DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow Matching","created":"2025-10-27","cited_by_count":15,"area":"diffusion"},{"id":"2507.12646","title":"Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos","created":"2025-07-16","cited_by_count":14,"area":"diffusion"},{"id":"2603.23500","title":"UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation","created":"2026-03-24","cited_by_count":13,"area":"diffusion"},{"id":"2510.07799","title":"Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models","created":"2025-10-09","cited_by_count":11,"area":"diffusion"},{"id":"2601.10403","title":"Discrete Feynman-Kac Correctors","created":"2026-01-15","cited_by_count":11,"area":"diffusion"},{"id":"2312.01408","title":"Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts","created":"2023-12-03","cited_by_count":10,"area":"diffusion"},{"id":"2410.04171","title":"IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis","created":"2024-10-05","cited_by_count":10,"area":"diffusion"},{"id":"2503.09069","title":"Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows","created":"2025-03-12","cited_by_count":10,"area":"diffusion"},{"id":"2505.11247","title":"LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios","created":"2025-05-16","cited_by_count":10,"area":"diffusion"},{"id":"2506.04158","title":"Image Editing As Programs with Diffusion Models","created":"2025-06-04","cited_by_count":10,"area":"diffusion"},{"id":"2508.19529","title":"Blockwise SFT for Diffusion Language Models: Reconciling Bidirectional Attention and Autoregressive Decoding","created":"2025-08-27","cited_by_count":10,"area":"diffusion"},{"id":"2505.13791","title":"Scalable Autoregressive 3D Molecule Generation","created":"2025-05-20","cited_by_count":8,"area":"diffusion"},{"id":"2312.01474","title":"LVDiffusor: Distilling Functional Rearrangement Priors from Large Models into Diffusor","created":"2023-12-03","cited_by_count":7,"area":"diffusion"},{"id":"2406.14964","title":"VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation","created":"2024-06-21","cited_by_count":6,"area":"diffusion"},{"id":"2507.22617","title":"Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions","created":"2025-07-30","cited_by_count":6,"area":"diffusion"},{"id":"2512.25014","title":"Diffusion Language Models are Provably Optimal Parallel Samplers","created":"2025-12-31","cited_by_count":6,"area":"diffusion"},{"id":"2406.00093","title":"Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data","created":"2024-05-31","cited_by_count":5,"area":"diffusion"},{"id":"2410.22775","title":"Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models","created":"2024-10-30","cited_by_count":5,"area":"diffusion"},{"id":"2506.16853","title":"Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models","created":"2025-06-20","cited_by_count":5,"area":"diffusion"},{"id":"2508.07102","title":"Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria","created":"2025-08-09","cited_by_count":5,"area":"diffusion"},{"id":"2509.01632","title":"Relative Trajectory Balance is equivalent to Trust-PCL","created":"2025-09-01","cited_by_count":5,"area":"diffusion"},{"id":"2510.11715","title":"Point Prompting: Counterfactual Tracking with Video Diffusion Models","created":"2025-10-13","cited_by_count":5,"area":"diffusion"},{"id":"2602.22474","title":"When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering","created":"2026-02-25","cited_by_count":5,"area":"diffusion"},{"id":"2603.25702","title":"S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation","created":"2026-03-26","cited_by_count":5,"area":"diffusion"},{"id":"2412.06089","title":"GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis","created":"2024-12-08","cited_by_count":4,"area":"diffusion"},{"id":"2511.19965","title":"HiCoGen: Hierarchical Compositional Text-to-Image Generation in Diffusion Models via Reinforcement Learning","created":"2025-11-25","cited_by_count":4,"area":"diffusion"},{"id":"2511.20647","title":"Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization","created":"2025-11-25","cited_by_count":4,"area":"diffusion"},{"id":"2603.20470","title":"DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation","created":"2026-03-20","cited_by_count":4,"area":"diffusion"},{"id":"2409.15259","title":"StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing","created":"2024-09-23","cited_by_count":3,"area":"diffusion"},{"id":"2411.07873","title":"Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules","created":"2024-11-12","cited_by_count":3,"area":"diffusion"},{"id":"2412.09614","title":"RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance","created":"2024-12-12","cited_by_count":3,"area":"diffusion"},{"id":"2502.01980","title":"Generative Data Mining with Longtail-Guided Diffusion","created":"2025-02-04","cited_by_count":3,"area":"diffusion"},{"id":"2502.04378","title":"DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation","created":"2025-02-05","cited_by_count":3,"area":"diffusion"},{"id":"2510.15022","title":"LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models","created":"2025-10-16","cited_by_count":3,"area":"diffusion"},{"id":"2512.21430","title":"EVE: A Generator-Verifier System for Generative Policies","created":"2025-12-24","cited_by_count":3,"area":"diffusion"},{"id":"2601.14041","title":"Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants","created":"2026-01-20","cited_by_count":3,"area":"diffusion"},{"id":"2604.03677","title":"Unlocking Prompt Infilling Capability for Diffusion Language Models","created":"2026-04-04","cited_by_count":3,"area":"diffusion"},{"id":"2403.13551","title":"Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing","created":"2024-03-20","cited_by_count":2,"area":"diffusion"},{"id":"2407.12579","title":"The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation","created":"2024-07-17","cited_by_count":2,"area":"diffusion"},{"id":"2412.05003","title":"SLayR: Scene Layout Generation with Rectified Flow","created":"2024-12-06","cited_by_count":2,"area":"diffusion"},{"id":"2503.14076","title":"Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency","created":"2025-03-18","cited_by_count":2,"area":"diffusion"},{"id":"2510.00506","title":"Affordance-Guided Diffusion Prior for 3D Hand Reconstruction","created":"2025-10-01","cited_by_count":2,"area":"diffusion"},{"id":"2605.17580","title":"ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation","created":"2026-05-17","cited_by_count":2,"area":"diffusion"},{"id":"2606.27617","title":"Masked Language Flow Models","created":"2026-06-26","cited_by_count":2,"area":"diffusion"},{"id":"2606.31204","title":"AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation","created":"2026-06-30","cited_by_count":2,"area":"diffusion"}],"next_cursor":"100"}